Rapport d’audit du skill
LLMWebCrawler Rapport d’audit.
A Web Crawler based on LLMs implemented with Ray and Huggingface. The embeddings are saved into a vector database for fast clustering and retrieval. Use it for your RAG.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Info62
104 stars GitHub
Activité stars/forks
Avertissement57
104 stars et 13 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Échoué22
3 ans depuis le dernier push
Clarté de licence
Avertissement42
Inconnu
Complétude README/SKILL.md
Validé90
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Info74
network or browser surface, database surface
Disponibilité de l’installation
Validé92
npx skills add Aavache/LLMWebCrawler
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Avertissement60
filesystem or document access, network or browser access
Preuve du dépôt
Validé86
https://github.com/Aavache/LLMWebCrawler
État de revue
Validé88
Données de revue IA disponibles
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add Aavache/LLMWebCrawler
Dépôt
88
https://github.com/Aavache/LLMWebCrawler
Licence
45
Inconnu
Maintenance
20
3 ans depuis le dernier push
Revue IA
88
Approved with no listed issues
Complétude README/SKILL.md
90
Usable description available
Risque de dépendances
74
network or browser surface, database surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
60
filesystem or document access, network or browser access
Activité stars/forks
57
104 stars et 13 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
104 stars GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- La licence est ambiguë
- Permission surface may require sandboxing
- Repository appears stale
- Financial research output is not financial advice; require human review before any live investment decision
- Repository looks stale
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: filesystem or document access, network or browser access
- Stars/forks activity: 104 stars, 13 forks; issue activity unavailable in current metadata
- Recent maintenance: 3y since push
- License clarity: Unknown
- Permission surface: filesystem or document access, network or browser access
Méthode
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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